{"id":"W3215214493","doi":"10.1145/3473973","title":"Graph Neural Collaborative Topic Model for Citation Recommendation","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Information Systems","topic":"Topic Modeling","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Citation; Pairwise comparison; Graph; Information retrieval; Knowledge graph; Artificial neural network; Information overload; Data science; Artificial intelligence; Machine learning; Theoretical computer science; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002281406,0.0001055305,0.0001237758,0.0002065935,0.0002563805,0.0003384935,0.0002621606,0.00007325922,0.000005626346],"category_scores_gemma":[0.00005816717,0.0001106642,0.00006395432,0.0005258561,0.000007812177,0.002907684,0.000006894269,0.00009297449,0.00002129184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008579992,"about_ca_system_score_gemma":0.0001208926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009629967,"about_ca_topic_score_gemma":0.000008247946,"domain_scores_codex":[0.9989789,0.00006009932,0.0004487892,0.0001644608,0.0002003607,0.0001473631],"domain_scores_gemma":[0.9985864,0.0001348854,0.0001554777,0.0004554927,0.0006177326,0.00004997608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001282012,0.00003262047,0.000008183649,0.00008286653,0.00003134765,2.086304e-7,0.005723698,0.8084937,0.00007942081,0.03174412,0.0003600887,0.153431],"study_design_scores_gemma":[0.0004617795,0.00003336245,0.0000192424,0.00001551137,0.000006787721,0.00000598855,0.0008693897,0.9920885,0.0007271804,0.001612849,0.004042361,0.0001170603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009476984,0.00001280284,0.9940531,0.002561706,0.001159109,0.000443751,0.00005440065,0.0001443548,0.0006230643],"genre_scores_gemma":[0.9034551,0.0000150389,0.09507699,0.0005735161,0.00003573723,0.0003569315,0.0001194045,0.000005852775,0.0003614683],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9025074,"threshold_uncertainty_score":0.4512757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04296698371935009,"score_gpt":0.276904698131039,"score_spread":0.2339377144116889,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}